Synergistic Potential of Supercomputing and AI in Shaping Secure Digital Environments
Dragan Petrović
University of Belgrade
Milena Jovanović
University of Novi Sad
Keywords: supercomputing, high-performance computing, artificial intelligence, machine learning, digital security
Abstract
The rapid advancements in supercomputing and artificial intelligence (AI) technologies in recent years have opened up new possibilities for enhancing cybersecurity and creating more secure digital environments. This paper explores the synergistic potential of combining high-performance computing (HPC) and AI to tackle the growing challenges of cyberthreats and vulnerabilities in an increasingly interconnected world. We discuss how supercomputers can enable more powerful and scalable AI systems for real-time threat detection, analysis, and response. At the same time, AI can optimize supercomputing architectures, workflows, and performance for security-critical applications. We also examine the role of federated learning in enabling collaborative training of AI models for cyberdefense across organizations without compromising sensitive data. The cooperative dynamics between supercomputing, AI, and human expertise can lead to intelligent and adaptive cybersecurity frameworks that continuously evolve to match the sophistication of emerging threats. To realize the full potential of this synergy, multidisciplinary research and development efforts are needed spanning computer science, engineering, mathematics, social sciences, and public policy. The paper concludes with recommendations for developing HPC-AI security solutions while addressing pertinent issues such as transparency, accountability, privacy, and ethics. Overall, this convergence of supercomputing and AI promises to be transformative in shaping the future foundations of cybersecurity and fostering secure digital ecosystems.
Author Biographies
Dragan Petrović, University of Belgrade
Milena Jovanović, University of Novi Sad
